深海吸力式锚桩极限承载力研究

研究目的:深海吸力式基础的极限承载能力是海洋工程结构设计中的一个关键问题。准确求解吸力锚桩的极限承载力,能够为深海海洋结构物的稳定性提供技术保障;同时,研究深海吸力锚桩极限平衡条件下的失稳机理,可以为进一步深入研究极限承载力奠定理论基础。研究结论:结果表明,本文给出的位移加载模式,能够较为准确地求解水平载荷与竖向载荷共同作用情况下吸力式基础的极限承载力;吸力式锚桩的极限承载力及其稳定性,受水平载荷和竖向载荷的比值以及作用点的位置影响较大。本文工作为工程实际和理论分析提供了技术支持和理论指导。     

点式列车自动保护模式下的紧急停车、跳停缺陷及解决方法

点式ATP(列车自动保护)是CBTC(基于无线通信的列车控制)的降级模式。以西安地铁2号线信号系统为例,在分析点式ATP信号系统原理的基础上,结合用户经验,对点式ATP模式下紧急停车及跳停功能的缺陷进行了研究,并提出了相应的解决方法。     

城市轨道交通工程中转辙机安装方式简析

介绍城市轨道交通中各种转辙机的安装方式,并从多个方面分析比较了各种安装方式。     

边角后方交会与公路路线测设

常规的交会定点方法对交会图形有一定的要求。本文讨论了边角同测的后方交会观测方法、计算原理和点位精度分析，并通过理论和实例验证了该方法的可行性。本文所述方法具有操作简便、选点灵活和不受交会图形限制等优点。     

桥梁施工控制中高程测点模型系统误差的消除

为识别误差，将高程测量系统模型分为高程测量模型和高程测点模型。文中对预应力混凝土桥梁悬臂施工控制中主梁高程测点模型的系统误差进行详细分析．并通过采取合理措施进行消除。同时分析指出，施工规范中利用主梁顶面高程作为施工控制的质量标准。理论上可行。而实际获取的顶面高程结果可能无效。建议采用主梁底面高程作为施工控制的质量标准。     

车辆折算系数的分类及算法

提出了标准车的选择原则:车长等于约定的长度;当交通流密度很小时,以道路设计速度行驶;驾驶员遵守交通规则。定义了微观车辆折算系数:交通流全部由标准车组成时的流量与交通流全部由某种车组成时的流量之比。定义了聚类车辆折算系数:组成该类车型的所有自然车的微观折算系数与组成比例的乘积之和。定义了宏观车辆折算系数:组成混合交通流的所有自然车的微观折算系数与组成比例的乘积之和。计算了这三种车辆折算系数。     

Travel time estimation from sparse floating car data with consistent path inference: A fixed point approach

Estimation of urban network link travel times from sparse floating car data (FCD) usually needs pre-processing, mainly map-matching and path inference for finding the most likely vehicle paths that are consistent with reported locations. Path inference requires a priori assumptions about link travel times; using unrealistic initial link travel times can bias the travel time estimation and subsequent identification of shortest paths. Thus, the combination of path inference and travel time estimation is a joint problem. This paper investigates the sensitivity of estimated travel times, and proposes a fixed point formulation of the simultaneous path inference and travel time estimation problem. The methodology is applied in a case study to estimate travel times from taxi FCD in Stockholm, Sweden. The results show that standard fixed point iterations converge quickly to a solution where input and output travel times are consistent. The solution is robust under different initial travel times assumptions and data sizes. Validation against actual path travel time measurements from the Google API and an instrumented vehicle deployed for this purpose shows that the fixed point algorithm improves shortest path finding. The results highlight the importance of the joint solution of the path inference and travel time estimation problem, in particular for accurate path finding and route optimization.     

Closed-form multiclass cell transmission model enhanced with overtaking,lane-changing,and first-in first-out properties

A novel multiclass macroscopic model is proposed in this article. In order to enhance first-in, first-out property (FIFO) and transmission function in the multiclass traffic modeling, a new multiclass cell transmission model with FIFO property (herein called FM-CTM) is extended from its prior multiclass cell transmission model (M-CTM). Also, to enhance its analytical compactness and resultant computational convenience, FM-CTM is formulated in this paper as a set of closed-form matrix equations. The objective is to improve the accuracy of traffic state estimation by enforcing FIFO property when a fast vehicle cannot overtake a slow vehicle due to a limitation of a single-lane road. Moreover, the proposed model takes into account a different priority for vehicles of each class to move forward through congested road conditions, and that makes the flow calculation independent from their free-flow speeds. Some hypothetical and real-world freeway networks with a constant or varying number of lanes are selected to verify FM-CTM by comparing with M-CTM and the conventional CTM. Observed densities of VISSIM and real-world dataset of I-80 are selected to compare with the simulated densities from the three CTMs. The numerical results show that FM-CTM outperforms the other two models by 15% of accuracy measures in most cases. Therefore, the proposed model is expected to be well applicable to the road network with a mixed traffic and varying number of lanes.     

Modeling real-time human mobility based on mobile phone and transportation data fusion

Even though a variety of human mobility models have been recently developed, models that can capture real-time human mobility of urban populations in a sustainable and economical manner are still lacking. Here, we propose a novel human mobility model that combines the advantages of mobile phone signaling data (i.e., comprehensive penetration in a population) and urban transportation data (i.e., continuous collection and high accuracy). Using the proposed human mobility model, travel demands during each 1-h time window were estimated for the city of Shenzhen, China. Significantly, the estimated travel demands not only preserved the distribution of travel demands, but also captured real-time bursts of mobility fluxes during large crowding events. Finally, based on the proposed human mobility model, a predictive model is deployed to predict crowd gatherings that usually cause severe traffic jams.     

STAAD.Pro在海洋工程模块吊装设计中的应用

对STAAD.Pro软件在海洋工程模块建造的加工设计阶段的应用进行了探讨。通过STAAD.Pro软件的可视化操作平台,对实际海洋工程模块进行建模、加载、计算和分析,通过计算得出模块的质量和质心位置,并根据规范对模块进行整体强度校核,从而对海洋工程模块的吊点布置及其吊装过程起到实际的指导作用。